Overview

Brought to you by YData

Dataset statistics

Number of variables	37
Number of observations	9240
Missing cells	41039
Missing cells (%)	12.0%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	16.6 MiB
Average record size in memory	1.8 KiB

Variable types

Text	1
Numeric	6
Categorical	16
Boolean	14

Alerts

`Magazine` has constant value "False"	Constant
`Receive More Updates About Our Courses` has constant value "False"	Constant
`Update me on Supply Chain Content` has constant value "False"	Constant
`Get updates on DM Content` has constant value "False"	Constant
`I agree to pay the amount through cheque` has constant value "False"	Constant
`A free copy of Mastering The Interview` is highly overall correlated with `City` and 2 other fields	High correlation
`Asymmetrique Activity Index` is highly overall correlated with `Asymmetrique Activity Score` and 2 other fields	High correlation
`Asymmetrique Activity Score` is highly overall correlated with `Asymmetrique Activity Index` and 2 other fields	High correlation
`Asymmetrique Profile Index` is highly overall correlated with `Asymmetrique Profile Score` and 2 other fields	High correlation
`Asymmetrique Profile Score` is highly overall correlated with `Asymmetrique Profile Index` and 2 other fields	High correlation
`City` is highly overall correlated with `A free copy of Mastering The Interview`	High correlation
`Converted` is highly overall correlated with `Lead Quality` and 1 other fields	High correlation
`Do Not Email` is highly overall correlated with `Last Activity`	High correlation
`Last Activity` is highly overall correlated with `Do Not Email` and 1 other fields	High correlation
`Last Notable Activity` is highly overall correlated with `Last Activity`	High correlation
`Lead Origin` is highly overall correlated with `A free copy of Mastering The Interview` and 1 other fields	High correlation
`Lead Profile` is highly overall correlated with `X Education Forums`	High correlation
`Lead Quality` is highly overall correlated with `Converted` and 2 other fields	High correlation
`Lead Source` is highly overall correlated with `A free copy of Mastering The Interview` and 1 other fields	High correlation
`Newspaper` is highly overall correlated with `Asymmetrique Activity Index` and 3 other fields	High correlation
`Page Views Per Visit` is highly overall correlated with `Total Time Spent on Website` and 1 other fields	High correlation
`Tags` is highly overall correlated with `Converted` and 2 other fields	High correlation
`Total Time Spent on Website` is highly overall correlated with `Page Views Per Visit` and 1 other fields	High correlation
`TotalVisits` is highly overall correlated with `Page Views Per Visit` and 1 other fields	High correlation
`What is your current occupation` is highly overall correlated with `X Education Forums`	High correlation
`What matters most to you in choosing a course` is highly overall correlated with `X Education Forums`	High correlation
`X Education Forums` is highly overall correlated with `Asymmetrique Activity Index` and 8 other fields	High correlation
`Do Not Email` is highly imbalanced (60.0%)	Imbalance
`Do Not Call` is highly imbalanced (99.7%)	Imbalance
`Country` is highly imbalanced (92.0%)	Imbalance
`How did you hear about X Education` is highly imbalanced (53.0%)	Imbalance
`What is your current occupation` is highly imbalanced (71.1%)	Imbalance
`What matters most to you in choosing a course` is highly imbalanced (99.6%)	Imbalance
`Search` is highly imbalanced (98.4%)	Imbalance
`Newspaper Article` is highly imbalanced (99.7%)	Imbalance
`X Education Forums` is highly imbalanced (99.8%)	Imbalance
`Newspaper` is highly imbalanced (99.8%)	Imbalance
`Digital Advertisement` is highly imbalanced (99.5%)	Imbalance
`Through Recommendations` is highly imbalanced (99.1%)	Imbalance
`TotalVisits` has 137 (1.5%) missing values	Missing
`Page Views Per Visit` has 137 (1.5%) missing values	Missing
`Last Activity` has 103 (1.1%) missing values	Missing
`Country` has 2461 (26.6%) missing values	Missing
`Specialization` has 1438 (15.6%) missing values	Missing
`How did you hear about X Education` has 2207 (23.9%) missing values	Missing
`What is your current occupation` has 2690 (29.1%) missing values	Missing
`What matters most to you in choosing a course` has 2709 (29.3%) missing values	Missing
`Tags` has 3353 (36.3%) missing values	Missing
`Lead Quality` has 4767 (51.6%) missing values	Missing
`Lead Profile` has 2709 (29.3%) missing values	Missing
`City` has 1420 (15.4%) missing values	Missing
`Asymmetrique Activity Index` has 4218 (45.6%) missing values	Missing
`Asymmetrique Profile Index` has 4218 (45.6%) missing values	Missing
`Asymmetrique Activity Score` has 4218 (45.6%) missing values	Missing
`Asymmetrique Profile Score` has 4218 (45.6%) missing values	Missing
`Prospect ID` has unique values	Unique
`Lead Number` has unique values	Unique
`TotalVisits` has 2189 (23.7%) zeros	Zeros
`Total Time Spent on Website` has 2193 (23.7%) zeros	Zeros
`Page Views Per Visit` has 2189 (23.7%) zeros	Zeros

Reproduction

Analysis started	2025-07-16 09:55:37.865405
Analysis finished	2025-07-16 09:55:50.646309
Duration	12.78 seconds
Software version	ydata-profiling vv4.16.1
Download configuration	config.json

Prospect ID
Text

Unique

Distinct	9240
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Memory size	839.3 KiB

Length

Max length	36
Median length	36
Mean length	36
Min length	36

Characters and Unicode

Total characters	332640
Distinct characters	17
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	9240 ?
Unique (%)	100.0%

Sample

1st row	7927b2df-8bba-4d29-b9a2-b6e0beafe620
2nd row	2a272436-5132-4136-86fa-dcc88c88f482
3rd row	8cc8c611-a219-4f35-ad23-fdfd2656bd8a
4th row	0cc2df48-7cf4-4e39-9de9-19797f9b38cc
5th row	3256f628-e534-4826-9d63-4a8b88782852

Value	Count	Frequency (%)
d2055a36-b268-43a0-beeb-9a715f6a660d	1	< 0.1%
571b5c8e-a5b2-4d57-8574-f2ffb06fdeff	1	< 0.1%
7927b2df-8bba-4d29-b9a2-b6e0beafe620	1	< 0.1%
2a272436-5132-4136-86fa-dcc88c88f482	1	< 0.1%
8cc8c611-a219-4f35-ad23-fdfd2656bd8a	1	< 0.1%
0cc2df48-7cf4-4e39-9de9-19797f9b38cc	1	< 0.1%
3256f628-e534-4826-9d63-4a8b88782852	1	< 0.1%
2058ef08-2858-443e-a01f-a9237db2f5ce	1	< 0.1%
9fae7df4-169d-489b-afe4-0f3d752542ed	1	< 0.1%
20ef72a2-fb3b-45e0-924e-551c5fa59095	1	< 0.1%
Other values (9230)	9230	99.9%

Most occurring characters

Value	Count	Frequency (%)
-	36960	11.1%
4	26383	7.9%
8	19749	5.9%
a	19646	5.9%
b	19453	5.8%
9	19396	5.8%
6	17607	5.3%
2	17574	5.3%
7	17542	5.3%
e	17482	5.3%
Other values (7)	120848	36.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	332640	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
-	36960	11.1%
4	26383	7.9%
8	19749	5.9%
a	19646	5.9%
b	19453	5.8%
9	19396	5.8%
6	17607	5.3%
2	17574	5.3%
7	17542	5.3%
e	17482	5.3%
Other values (7)	120848	36.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	332640	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
-	36960	11.1%
4	26383	7.9%
8	19749	5.9%
a	19646	5.9%
b	19453	5.8%
9	19396	5.8%
6	17607	5.3%
2	17574	5.3%
7	17542	5.3%
e	17482	5.3%
Other values (7)	120848	36.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	332640	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
-	36960	11.1%
4	26383	7.9%
8	19749	5.9%
a	19646	5.9%
b	19453	5.8%
9	19396	5.8%
6	17607	5.3%
2	17574	5.3%
7	17542	5.3%
e	17482	5.3%
Other values (7)	120848	36.3%

Lead Number
Real number (ℝ)

Unique

Distinct	9240
Distinct (%)	100.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	617188.44

Minimum	579533
Maximum	660737
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	72.3 KiB

Quantile statistics

Minimum	579533
5-th percentile	582869.9
Q1	596484.5
median	615479
Q3	637387.25
95-th percentile	655404.05
Maximum	660737
Range	81204
Interquartile range (IQR)	40902.75

Descriptive statistics

Standard deviation	23405.996
Coefficient of variation (CV)	0.037923581
Kurtosis	-1.2063933
Mean	617188.44
Median Absolute Deviation (MAD)	20413.5
Skewness	0.14045109
Sum	5.7028211 × 10⁹
Variance	5.4784063 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
579533	1	< 0.1%
660737	1	< 0.1%
660728	1	< 0.1%
660727	1	< 0.1%
660719	1	< 0.1%
660681	1	< 0.1%
660680	1	< 0.1%
660673	1	< 0.1%
660664	1	< 0.1%
660624	1	< 0.1%
Other values (9230)	9230	99.9%

Value	Count	Frequency (%)
579533	1	< 0.1%
579538	1	< 0.1%
579545	1	< 0.1%
579546	1	< 0.1%
579564	1	< 0.1%
579615	1	< 0.1%
579622	1	< 0.1%
579642	1	< 0.1%
579697	1	< 0.1%
579701	1	< 0.1%

Value	Count	Frequency (%)
660737	1	< 0.1%
660728	1	< 0.1%
660727	1	< 0.1%
660719	1	< 0.1%
660681	1	< 0.1%
660680	1	< 0.1%
660673	1	< 0.1%
660664	1	< 0.1%
660624	1	< 0.1%
660616	1	< 0.1%

Lead Origin
Categorical

High correlation

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	644.4 KiB

Landing Page Submission	4886
API	3580
Lead Add Form	718
Lead Import	55
Quick Add Form	1

Length

Max length	23
Median length	23
Mean length	14.401623
Min length	3

Characters and Unicode

Total characters	133071
Distinct characters	24
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	API
2nd row	API
3rd row	Landing Page Submission
4th row	Landing Page Submission
5th row	Landing Page Submission

Common Values

Value	Count	Frequency (%)
Landing Page Submission	4886	52.9%
API	3580	38.7%
Lead Add Form	718	7.8%
Lead Import	55	0.6%
Quick Add Form	1	< 0.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
landing	4886	23.8%
page	4886	23.8%
submission	4886	23.8%
api	3580	17.5%
lead	773	3.8%
add	719	3.5%
form	719	3.5%
import	55	0.3%
quick	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
i	14659	11.0%
n	14658	11.0%
	11265	8.5%
a	10545	7.9%
g	9772	7.3%
s	9772	7.3%
P	8466	6.4%
d	7097	5.3%
o	5660	4.3%
m	5660	4.3%
Other values (14)	35517	26.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	133071	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
i	14659	11.0%
n	14658	11.0%
	11265	8.5%
a	10545	7.9%
g	9772	7.3%
s	9772	7.3%
P	8466	6.4%
d	7097	5.3%
o	5660	4.3%
m	5660	4.3%
Other values (14)	35517	26.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	133071	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
i	14659	11.0%
n	14658	11.0%
	11265	8.5%
a	10545	7.9%
g	9772	7.3%
s	9772	7.3%
P	8466	6.4%
d	7097	5.3%
o	5660	4.3%
m	5660	4.3%
Other values (14)	35517	26.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	133071	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
i	14659	11.0%
n	14658	11.0%
	11265	8.5%
a	10545	7.9%
g	9772	7.3%
s	9772	7.3%
P	8466	6.4%
d	7097	5.3%
o	5660	4.3%
m	5660	4.3%
Other values (14)	35517	26.7%

Lead Source
Categorical

High correlation

Distinct	21
Distinct (%)	0.2%
Missing	36
Missing (%)	0.4%
Memory size	608.2 KiB

Google	2868
Direct Traffic	2543
Olark Chat	1755
Organic Search	1154
Reference	534
Other values (16)	350

Length

Max length	17
Median length	16
Mean length	10.432095
Min length	4

Characters and Unicode

Total characters	96017
Distinct characters	41
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	7 ?
Unique (%)	0.1%

Sample

1st row	Olark Chat
2nd row	Organic Search
3rd row	Direct Traffic
4th row	Direct Traffic
5th row	Google

Common Values

Value	Count	Frequency (%)
Google	2868	31.0%
Direct Traffic	2543	27.5%
Olark Chat	1755	19.0%
Organic Search	1154	12.5%
Reference	534	5.8%
Welingak Website	142	1.5%
Referral Sites	125	1.4%
Facebook	55	0.6%
bing	6	0.1%
google	5	0.1%
Other values (11)	17	0.2%
(Missing)	36	0.4%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
google	2873	19.2%
direct	2543	17.0%
traffic	2543	17.0%
chat	1757	11.8%
olark	1755	11.8%
organic	1154	7.7%
search	1154	7.7%
reference	534	3.6%
welingak	142	1.0%
website	142	1.0%
Other values (19)	333	2.2%

Most occurring characters

Value	Count	Frequency (%)
r	9938	10.4%
e	9584	10.0%
a	8699	9.1%
c	7995	8.3%
i	6666	6.9%
o	5863	6.1%
f	5745	6.0%
	5726	6.0%
l	4916	5.1%
t	4570	4.8%
Other values (31)	26315	27.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	96017	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
r	9938	10.4%
e	9584	10.0%
a	8699	9.1%
c	7995	8.3%
i	6666	6.9%
o	5863	6.1%
f	5745	6.0%
	5726	6.0%
l	4916	5.1%
t	4570	4.8%
Other values (31)	26315	27.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	96017	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
r	9938	10.4%
e	9584	10.0%
a	8699	9.1%
c	7995	8.3%
i	6666	6.9%
o	5863	6.1%
f	5745	6.0%
	5726	6.0%
l	4916	5.1%
t	4570	4.8%
Other values (31)	26315	27.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	96017	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
r	9938	10.4%
e	9584	10.0%
a	8699	9.1%
c	7995	8.3%
i	6666	6.9%
o	5863	6.1%
f	5745	6.0%
	5726	6.0%
l	4916	5.1%
t	4570	4.8%
Other values (31)	26315	27.4%

Do Not Email
Boolean

High correlation Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	9.1 KiB

False	8506
True	734

Value	Count	Frequency (%)
False	8506	92.1%
True	734	7.9%

Do Not Call
Boolean

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	9.1 KiB

False	9238
True	2

Value	Count	Frequency (%)
False	9238	> 99.9%
True	2	< 0.1%

Converted
Categorical

High correlation

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	523.5 KiB

0	5679
1	3561

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	9240
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	1
4th row	0
5th row	1

Common Values

Value	Count	Frequency (%)
0	5679	61.5%
1	3561	38.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	5679	61.5%
1	3561	38.5%

Most occurring characters

Value	Count	Frequency (%)
0	5679	61.5%
1	3561	38.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	9240	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	5679	61.5%
1	3561	38.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	9240	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	5679	61.5%
1	3561	38.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	9240	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	5679	61.5%
1	3561	38.5%

TotalVisits
Real number (ℝ)

High correlation Missing Zeros

Distinct	41
Distinct (%)	0.5%
Missing	137
Missing (%)	1.5%
Infinite	0
Infinite (%)	0.0%
Mean	3.4452378

Minimum	0
Maximum	251
Zeros	2189
Zeros (%)	23.7%
Negative	0
Negative (%)	0.0%
Memory size	72.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	3
Q3	5
95-th percentile	10
Maximum	251
Range	251
Interquartile range (IQR)	4

Descriptive statistics

Standard deviation	4.8548527
Coefficient of variation (CV)	1.4091488
Kurtosis	853.47871
Mean	3.4452378
Median Absolute Deviation (MAD)	2
Skewness	19.911657
Sum	31362
Variance	23.569595
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=41)

Value	Count	Frequency (%)
0	2189	23.7%
2	1680	18.2%
3	1306	14.1%
4	1120	12.1%
5	783	8.5%
6	466	5.0%
1	395	4.3%
7	309	3.3%
8	224	2.4%
9	164	1.8%
Other values (31)	467	5.1%
(Missing)	137	1.5%

Value	Count	Frequency (%)
0	2189	23.7%
1	395	4.3%
2	1680	18.2%
3	1306	14.1%
4	1120	12.1%
5	783	8.5%
6	466	5.0%
7	309	3.3%
8	224	2.4%
9	164	1.8%

Value	Count	Frequency (%)
251	1	< 0.1%
141	1	< 0.1%
115	1	< 0.1%
74	1	< 0.1%
55	1	< 0.1%
54	1	< 0.1%
43	1	< 0.1%
42	1	< 0.1%
41	1	< 0.1%
32	1	< 0.1%

Total Time Spent on Website
Real number (ℝ)

High correlation Zeros

Distinct	1731
Distinct (%)	18.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	487.69827

Minimum	0
Maximum	2272
Zeros	2193
Zeros (%)	23.7%
Negative	0
Negative (%)	0.0%
Memory size	72.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	12
median	248
Q3	936
95-th percentile	1562
Maximum	2272
Range	2272
Interquartile range (IQR)	924

Descriptive statistics

Standard deviation	548.02147
Coefficient of variation (CV)	1.1236896
Kurtosis	-0.40376973
Mean	487.69827
Median Absolute Deviation (MAD)	248
Skewness	0.95645019
Sum	4506332
Variance	300327.53
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	2193	23.7%
60	19	0.2%
74	18	0.2%
127	18	0.2%
75	18	0.2%
234	17	0.2%
62	17	0.2%
157	17	0.2%
87	17	0.2%
32	17	0.2%
Other values (1721)	6889	74.6%

Value	Count	Frequency (%)
0	2193	23.7%
1	7	0.1%
2	14	0.2%
3	9	0.1%
4	10	0.1%
5	13	0.1%
6	7	0.1%
7	8	0.1%
8	11	0.1%
9	11	0.1%

Value	Count	Frequency (%)
2272	1	< 0.1%
2253	1	< 0.1%
2226	1	< 0.1%
2217	1	< 0.1%
2207	1	< 0.1%
2170	1	< 0.1%
2140	1	< 0.1%
2137	1	< 0.1%
2125	1	< 0.1%
2117	1	< 0.1%

Page Views Per Visit
Real number (ℝ)

High correlation Missing Zeros

Distinct	114
Distinct (%)	1.3%
Missing	137
Missing (%)	1.5%
Infinite	0
Infinite (%)	0.0%
Mean	2.3628199

Minimum	0
Maximum	55
Zeros	2189
Zeros (%)	23.7%
Negative	0
Negative (%)	0.0%
Memory size	72.3 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	1
median	2
Q3	3
95-th percentile	6
Maximum	55
Range	55
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	2.1614178
Coefficient of variation (CV)	0.91476194
Kurtosis	42.362348
Mean	2.3628199
Median Absolute Deviation (MAD)	1
Skewness	2.8717929
Sum	21508.75
Variance	4.6717267
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	2189	23.7%
2	1795	19.4%
3	1196	12.9%
4	896	9.7%
1	651	7.0%
5	517	5.6%
1.5	306	3.3%
6	244	2.6%
2.5	241	2.6%
7	133	1.4%
Other values (104)	935	10.1%
(Missing)	137	1.5%

Value	Count	Frequency (%)
0	2189	23.7%
1	651	7.0%
1.14	2	< 0.1%
1.17	1	< 0.1%
1.19	1	< 0.1%
1.2	5	0.1%
1.21	1	< 0.1%
1.22	2	< 0.1%
1.23	2	< 0.1%
1.25	23	0.2%

Value	Count	Frequency (%)
55	1	< 0.1%
24	1	< 0.1%
16	3	< 0.1%
15	4	< 0.1%
14.5	1	< 0.1%
14	9	0.1%
13	6	0.1%
12.33	1	< 0.1%
12	5	0.1%
11.5	1	< 0.1%

Last Activity
Categorical

High correlation Missing

Distinct	17
Distinct (%)	0.2%
Missing	103
Missing (%)	1.1%
Memory size	633.9 KiB

Email Opened	3437
SMS Sent	2745
Olark Chat Conversation	973
Page Visited on Website	640
Converted to Lead	428
Other values (12)	914

Length

Max length	28
Median length	26
Mean length	13.400241
Min length	8

Characters and Unicode

Total characters	122438
Distinct characters	38
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	< 0.1%

Sample

1st row	Page Visited on Website
2nd row	Email Opened
3rd row	Email Opened
4th row	Unreachable
5th row	Converted to Lead

Common Values

Value	Count	Frequency (%)
Email Opened	3437	37.2%
SMS Sent	2745	29.7%
Olark Chat Conversation	973	10.5%
Page Visited on Website	640	6.9%
Converted to Lead	428	4.6%
Email Bounced	326	3.5%
Email Link Clicked	267	2.9%
Form Submitted on Website	116	1.3%
Unreachable	93	1.0%
Unsubscribed	61	0.7%
Other values (7)	51	0.6%
(Missing)	103	1.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
email	4034	18.9%
opened	3437	16.1%
sms	2745	12.8%
sent	2745	12.8%
conversation	1003	4.7%
olark	973	4.6%
chat	973	4.6%
on	756	3.5%
website	756	3.5%
visited	641	3.0%
Other values (26)	3320	15.5%

Most occurring characters

Value	Count	Frequency (%)
e	15724	12.8%
	12246	10.0%
n	10171	8.3%
S	8353	6.8%
a	8312	6.8%
i	7815	6.4%
t	7217	5.9%
d	5755	4.7%
l	5380	4.4%
O	4410	3.6%
Other values (28)	37055	30.3%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	122438	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	15724	12.8%
	12246	10.0%
n	10171	8.3%
S	8353	6.8%
a	8312	6.8%
i	7815	6.4%
t	7217	5.9%
d	5755	4.7%
l	5380	4.4%
O	4410	3.6%
Other values (28)	37055	30.3%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	122438	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	15724	12.8%
	12246	10.0%
n	10171	8.3%
S	8353	6.8%
a	8312	6.8%
i	7815	6.4%
t	7217	5.9%
d	5755	4.7%
l	5380	4.4%
O	4410	3.6%
Other values (28)	37055	30.3%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	122438	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	15724	12.8%
	12246	10.0%
n	10171	8.3%
S	8353	6.8%
a	8312	6.8%
i	7815	6.4%
t	7217	5.9%
d	5755	4.7%
l	5380	4.4%
O	4410	3.6%
Other values (28)	37055	30.3%

Country
Categorical

Imbalance Missing

Distinct	38
Distinct (%)	0.6%
Missing	2461
Missing (%)	26.6%
Memory size	547.1 KiB

India	6492
United States	69
United Arab Emirates	53
Singapore	24
Saudi Arabia	21
Other values (33)	120

Length

Max length	20
Median length	5
Mean length	5.291931
Min length	4

Characters and Unicode

Total characters	35874
Distinct characters	45
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	10 ?
Unique (%)	0.1%

Sample

1st row	India
2nd row	India
3rd row	India
4th row	India
5th row	India

Common Values

Value	Count	Frequency (%)
India	6492	70.3%
United States	69	0.7%
United Arab Emirates	53	0.6%
Singapore	24	0.3%
Saudi Arabia	21	0.2%
United Kingdom	15	0.2%
Australia	13	0.1%
Qatar	10	0.1%
Hong Kong	7	0.1%
Bahrain	7	0.1%
Other values (28)	68	0.7%
(Missing)	2461	26.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
india	6492	92.7%
united	137	2.0%
states	69	1.0%
arab	53	0.8%
emirates	53	0.8%
singapore	24	0.3%
saudi	21	0.3%
arabia	21	0.3%
kingdom	15	0.2%
australia	13	0.2%
Other values (35)	106	1.5%

Most occurring characters

Value	Count	Frequency (%)
a	6891	19.2%
i	6826	19.0%
n	6750	18.8%
d	6680	18.6%
I	6495	18.1%
t	365	1.0%
e	321	0.9%
	225	0.6%
r	205	0.6%
s	147	0.4%
Other values (35)	969	2.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	35874	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	6891	19.2%
i	6826	19.0%
n	6750	18.8%
d	6680	18.6%
I	6495	18.1%
t	365	1.0%
e	321	0.9%
	225	0.6%
r	205	0.6%
s	147	0.4%
Other values (35)	969	2.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	35874	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	6891	19.2%
i	6826	19.0%
n	6750	18.8%
d	6680	18.6%
I	6495	18.1%
t	365	1.0%
e	321	0.9%
	225	0.6%
r	205	0.6%
s	147	0.4%
Other values (35)	969	2.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	35874	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	6891	19.2%
i	6826	19.0%
n	6750	18.8%
d	6680	18.6%
I	6495	18.1%
t	365	1.0%
e	321	0.9%
	225	0.6%
r	205	0.6%
s	147	0.4%
Other values (35)	969	2.7%

Specialization
Categorical

Missing

Distinct	19
Distinct (%)	0.2%
Missing	1438
Missing (%)	15.6%
Memory size	647.5 KiB

Select	1942
Finance Management	976
Human Resource Management	848
Marketing Management	838
Operations Management	503
Other values (14)	2695

Length

Max length	33
Median length	23
Mean length	17.646885
Min length	6

Characters and Unicode

Total characters	137681
Distinct characters	38
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Select
2nd row	Select
3rd row	Business Administration
4th row	Media and Advertising
5th row	Select

Common Values

Value	Count	Frequency (%)
Select	1942	21.0%
Finance Management	976	10.6%
Human Resource Management	848	9.2%
Marketing Management	838	9.1%
Operations Management	503	5.4%
Business Administration	403	4.4%
IT Projects Management	366	4.0%
Supply Chain Management	349	3.8%
Banking, Investment And Insurance	338	3.7%
Media and Advertising	203	2.2%
Other values (9)	1036	11.2%
(Missing)	1438	15.6%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
management	4253	26.2%
select	1942	12.0%
finance	976	6.0%
human	848	5.2%
resource	848	5.2%
marketing	838	5.2%
and	817	5.0%
business	581	3.6%
operations	503	3.1%
administration	403	2.5%
Other values (21)	4202	25.9%

Most occurring characters

Value	Count	Frequency (%)
e	19899	14.5%
n	18135	13.2%
a	14945	10.9%
t	10430	7.6%
	8409	6.1%
i	6355	4.6%
m	6045	4.4%
g	5705	4.1%
M	5518	4.0%
s	5489	4.0%
Other values (28)	36751	26.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	137681	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	19899	14.5%
n	18135	13.2%
a	14945	10.9%
t	10430	7.6%
	8409	6.1%
i	6355	4.6%
m	6045	4.4%
g	5705	4.1%
M	5518	4.0%
s	5489	4.0%
Other values (28)	36751	26.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	137681	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	19899	14.5%
n	18135	13.2%
a	14945	10.9%
t	10430	7.6%
	8409	6.1%
i	6355	4.6%
m	6045	4.4%
g	5705	4.1%
M	5518	4.0%
s	5489	4.0%
Other values (28)	36751	26.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	137681	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	19899	14.5%
n	18135	13.2%
a	14945	10.9%
t	10430	7.6%
	8409	6.1%
i	6355	4.6%
m	6045	4.4%
g	5705	4.1%
M	5518	4.0%
s	5489	4.0%
Other values (28)	36751	26.7%

How did you hear about X Education
Categorical

Imbalance Missing

Distinct	10
Distinct (%)	0.1%
Missing	2207
Missing (%)	23.9%
Memory size	568.1 KiB

Select	5043
Online Search	808
Word Of Mouth	348
Student of SomeSchool	310
Other	186
Other values (5)	338

Length

Max length	21
Median length	6
Mean length	8.1246979
Min length	3

Characters and Unicode

Total characters	57141
Distinct characters	24
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Select
2nd row	Select
3rd row	Select
4th row	Word Of Mouth
5th row	Other

Common Values

Value	Count	Frequency (%)
Select	5043	54.6%
Online Search	808	8.7%
Word Of Mouth	348	3.8%
Student of SomeSchool	310	3.4%
Other	186	2.0%
Multiple Sources	152	1.6%
Advertisements	70	0.8%
Social Media	67	0.7%
Email	26	0.3%
SMS	23	0.2%
(Missing)	2207	23.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
select	5043	53.8%
online	808	8.6%
search	808	8.6%
of	658	7.0%
word	348	3.7%
mouth	348	3.7%
student	310	3.3%
someschool	310	3.3%
other	186	2.0%
multiple	152	1.6%
Other values (6)	405	4.3%

Most occurring characters

Value	Count	Frequency (%)
e	13089	22.9%
S	7046	12.3%
l	6558	11.5%
t	6489	11.4%
c	6380	11.2%
	2343	4.1%
o	2155	3.8%
n	1996	3.5%
h	1652	2.9%
r	1564	2.7%
Other values (14)	7869	13.8%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	57141	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	13089	22.9%
S	7046	12.3%
l	6558	11.5%
t	6489	11.4%
c	6380	11.2%
	2343	4.1%
o	2155	3.8%
n	1996	3.5%
h	1652	2.9%
r	1564	2.7%
Other values (14)	7869	13.8%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	57141	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	13089	22.9%
S	7046	12.3%
l	6558	11.5%
t	6489	11.4%
c	6380	11.2%
	2343	4.1%
o	2155	3.8%
n	1996	3.5%
h	1652	2.9%
r	1564	2.7%
Other values (14)	7869	13.8%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	57141	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	13089	22.9%
S	7046	12.3%
l	6558	11.5%
t	6489	11.4%
c	6380	11.2%
	2343	4.1%
o	2155	3.8%
n	1996	3.5%
h	1652	2.9%
r	1564	2.7%
Other values (14)	7869	13.8%

What is your current occupation
Categorical

High correlation Imbalance Missing

Distinct	6
Distinct (%)	0.1%
Missing	2690
Missing (%)	29.1%
Memory size	582.0 KiB

Unemployed	5600
Working Professional	706
Student	210
Other	16
Housewife	10

Length

Max length	20
Median length	10
Mean length	10.96916
Min length	5

Characters and Unicode

Total characters	71848
Distinct characters	27
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Unemployed
2nd row	Unemployed
3rd row	Student
4th row	Unemployed
5th row	Unemployed

Common Values

Value	Count	Frequency (%)
Unemployed	5600	60.6%
Working Professional	706	7.6%
Student	210	2.3%
Other	16	0.2%
Housewife	10	0.1%
Businessman	8	0.1%
(Missing)	2690	29.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
unemployed	5600	77.2%
working	706	9.7%
professional	706	9.7%
student	210	2.9%
other	16	0.2%
housewife	10	0.1%
businessman	8	0.1%

Most occurring characters

Value	Count	Frequency (%)
e	12160	16.9%
o	7728	10.8%
n	7238	10.1%
l	6306	8.8%
d	5810	8.1%
m	5608	7.8%
U	5600	7.8%
p	5600	7.8%
y	5600	7.8%
s	1446	2.0%
Other values (17)	8752	12.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	71848	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	12160	16.9%
o	7728	10.8%
n	7238	10.1%
l	6306	8.8%
d	5810	8.1%
m	5608	7.8%
U	5600	7.8%
p	5600	7.8%
y	5600	7.8%
s	1446	2.0%
Other values (17)	8752	12.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	71848	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	12160	16.9%
o	7728	10.8%
n	7238	10.1%
l	6306	8.8%
d	5810	8.1%
m	5608	7.8%
U	5600	7.8%
p	5600	7.8%
y	5600	7.8%
s	1446	2.0%
Other values (17)	8752	12.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	71848	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	12160	16.9%
o	7728	10.8%
n	7238	10.1%
l	6306	8.8%
d	5810	8.1%
m	5608	7.8%
U	5600	7.8%
p	5600	7.8%
y	5600	7.8%
s	1446	2.0%
Other values (17)	8752	12.2%

What matters most to you in choosing a course
Categorical

High correlation Imbalance Missing

Distinct	3
Distinct (%)	< 0.1%
Missing	2709
Missing (%)	29.3%
Memory size	658.5 KiB

Better Career Prospects	6528
Flexibility & Convenience	2
Other	1

Length

Max length	25
Median length	23
Mean length	22.997856
Min length	5

Characters and Unicode

Total characters	150199
Distinct characters	23
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	Better Career Prospects
2nd row	Better Career Prospects
3rd row	Better Career Prospects
4th row	Better Career Prospects
5th row	Better Career Prospects

Common Values

Value	Count	Frequency (%)
Better Career Prospects	6528	70.6%
Flexibility & Convenience	2	< 0.1%
Other	1	< 0.1%
(Missing)	2709	29.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
better	6528	33.3%
career	6528	33.3%
prospects	6528	33.3%
flexibility	2	< 0.1%
	2	< 0.1%
convenience	2	< 0.1%
other	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
e	32649	21.7%
r	26113	17.4%
t	19587	13.0%
	13060	8.7%
s	13056	8.7%
o	6530	4.3%
C	6530	4.3%
c	6530	4.3%
B	6528	4.3%
a	6528	4.3%
Other values (13)	13088	8.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	150199	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	32649	21.7%
r	26113	17.4%
t	19587	13.0%
	13060	8.7%
s	13056	8.7%
o	6530	4.3%
C	6530	4.3%
c	6530	4.3%
B	6528	4.3%
a	6528	4.3%
Other values (13)	13088	8.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	150199	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	32649	21.7%
r	26113	17.4%
t	19587	13.0%
	13060	8.7%
s	13056	8.7%
o	6530	4.3%
C	6530	4.3%
c	6530	4.3%
B	6528	4.3%
a	6528	4.3%
Other values (13)	13088	8.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	150199	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	32649	21.7%
r	26113	17.4%
t	19587	13.0%
	13060	8.7%
s	13056	8.7%
o	6530	4.3%
C	6530	4.3%
c	6530	4.3%
B	6528	4.3%
a	6528	4.3%
Other values (13)	13088	8.7%

Search
Boolean

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	9.1 KiB

False	9226
True	14

Value	Count	Frequency (%)
False	9226	99.8%
True	14	0.2%

Magazine
Boolean

Constant

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	9.1 KiB

False	9240

Value	Count	Frequency (%)
False	9240	100.0%

Newspaper Article
Boolean

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	9.1 KiB

False	9238
True	2

Value	Count	Frequency (%)
False	9238	> 99.9%
True	2	< 0.1%

X Education Forums
Boolean

High correlation Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	9.1 KiB

False	9239
True	1

Value	Count	Frequency (%)
False	9239	> 99.9%
True	1	< 0.1%

Newspaper
Boolean

High correlation Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	9.1 KiB

False	9239
True	1

Value	Count	Frequency (%)
False	9239	> 99.9%
True	1	< 0.1%

Digital Advertisement
Boolean

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	9.1 KiB

False	9236
True	4

Value	Count	Frequency (%)
False	9236	> 99.9%
True	4	< 0.1%

Through Recommendations
Boolean

Imbalance

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	9.1 KiB

False	9233
True	7

Value	Count	Frequency (%)
False	9233	99.9%
True	7	0.1%

Receive More Updates About Our Courses
Boolean

Constant

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	9.1 KiB

False	9240

Value	Count	Frequency (%)
False	9240	100.0%

Tags
Categorical

High correlation Missing

Distinct	26
Distinct (%)	0.4%
Missing	3353
Missing (%)	36.3%
Memory size	638.5 KiB

Will revert after reading the email	2072
Ringing	1203
Interested in other courses	513
Already a student	465
Closed by Horizzon	358
Other values (21)	1276

Length

Max length	49
Median length	37
Mean length	22.145405
Min length	4

Characters and Unicode

Total characters	130370
Distinct characters	45
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	Interested in other courses
2nd row	Ringing
3rd row	Will revert after reading the email
4th row	Ringing
5th row	Will revert after reading the email

Common Values

Value	Count	Frequency (%)
Will revert after reading the email	2072	22.4%
Ringing	1203	13.0%
Interested in other courses	513	5.6%
Already a student	465	5.0%
Closed by Horizzon	358	3.9%
switched off	240	2.6%
Busy	186	2.0%
Lost to EINS	175	1.9%
Not doing further education	145	1.6%
Interested in full time MBA	117	1.3%
Other values (16)	413	4.5%
(Missing)	3353	36.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
the	2074	9.5%
revert	2072	9.5%
will	2072	9.5%
after	2072	9.5%
reading	2072	9.5%
email	2072	9.5%
ringing	1203	5.5%
in	765	3.5%
interested	635	2.9%
other	513	2.4%
Other values (61)	6215	28.6%

Most occurring characters

Value	Count	Frequency (%)
e	17825	13.7%
	15995	12.3%
r	11725	9.0%
i	11002	8.4%
t	10394	8.0%
a	7750	5.9%
l	7640	5.9%
n	7559	5.8%
g	4935	3.8%
d	4847	3.7%
Other values (35)	30698	23.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	130370	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	17825	13.7%
	15995	12.3%
r	11725	9.0%
i	11002	8.4%
t	10394	8.0%
a	7750	5.9%
l	7640	5.9%
n	7559	5.8%
g	4935	3.8%
d	4847	3.7%
Other values (35)	30698	23.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	130370	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	17825	13.7%
	15995	12.3%
r	11725	9.0%
i	11002	8.4%
t	10394	8.0%
a	7750	5.9%
l	7640	5.9%
n	7559	5.8%
g	4935	3.8%
d	4847	3.7%
Other values (35)	30698	23.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	130370	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	17825	13.7%
	15995	12.3%
r	11725	9.0%
i	11002	8.4%
t	10394	8.0%
a	7750	5.9%
l	7640	5.9%
n	7559	5.8%
g	4935	3.8%
d	4847	3.7%
Other values (35)	30698	23.5%

Lead Quality
Categorical

High correlation Missing

Distinct	5
Distinct (%)	0.1%
Missing	4767
Missing (%)	51.6%
Memory size	553.1 KiB

Might be	1560
Not Sure	1092
High in Relevance	637
Worst	601
Low in Relevance	583

Length

Max length	17
Median length	8
Mean length	9.9213056
Min length	5

Characters and Unicode

Total characters	44378
Distinct characters	24
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Low in Relevance
2nd row	Might be
3rd row	Not Sure
4th row	Might be
5th row	Low in Relevance

Common Values

Value	Count	Frequency (%)
Might be	1560	16.9%
Not Sure	1092	11.8%
High in Relevance	637	6.9%
Worst	601	6.5%
Low in Relevance	583	6.3%
(Missing)	4767	51.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
might	1560	16.3%
be	1560	16.3%
in	1220	12.8%
relevance	1220	12.8%
not	1092	11.4%
sure	1092	11.4%
high	637	6.7%
worst	601	6.3%
low	583	6.1%

Most occurring characters

Value	Count	Frequency (%)
e	6312	14.2%
	5092	11.5%
i	3417	7.7%
t	3253	7.3%
n	2440	5.5%
o	2276	5.1%
g	2197	5.0%
h	2197	5.0%
r	1693	3.8%
M	1560	3.5%
Other values (14)	13941	31.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	44378	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	6312	14.2%
	5092	11.5%
i	3417	7.7%
t	3253	7.3%
n	2440	5.5%
o	2276	5.1%
g	2197	5.0%
h	2197	5.0%
r	1693	3.8%
M	1560	3.5%
Other values (14)	13941	31.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	44378	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	6312	14.2%
	5092	11.5%
i	3417	7.7%
t	3253	7.3%
n	2440	5.5%
o	2276	5.1%
g	2197	5.0%
h	2197	5.0%
r	1693	3.8%
M	1560	3.5%
Other values (14)	13941	31.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	44378	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	6312	14.2%
	5092	11.5%
i	3417	7.7%
t	3253	7.3%
n	2440	5.5%
o	2276	5.1%
g	2197	5.0%
h	2197	5.0%
r	1693	3.8%
M	1560	3.5%
Other values (14)	13941	31.4%

Update me on Supply Chain Content
Boolean

Constant

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	9.1 KiB

False	9240

Value	Count	Frequency (%)
False	9240	100.0%

Get updates on DM Content
Boolean

Constant

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	9.1 KiB

False	9240

Value	Count	Frequency (%)
False	9240	100.0%

Lead Profile
Categorical

High correlation Missing

Distinct	6
Distinct (%)	0.1%
Missing	2709
Missing (%)	29.3%
Memory size	569.2 KiB

Select	4146
Potential Lead	1613
Other Leads	487
Student of SomeSchool	241
Lateral Student	24

Length

Max length	27
Median length	6
Mean length	8.9995407
Min length	6

Characters and Unicode

Total characters	58776
Distinct characters	23
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Select
2nd row	Select
3rd row	Potential Lead
4th row	Select
5th row	Select

Common Values

Value	Count	Frequency (%)
Select	4146	44.9%
Potential Lead	1613	17.5%
Other Leads	487	5.3%
Student of SomeSchool	241	2.6%
Lateral Student	24	0.3%
Dual Specialization Student	20	0.2%
(Missing)	2709	29.3%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
select	4146	45.2%
potential	1613	17.6%
lead	1613	17.6%
other	487	5.3%
leads	487	5.3%
student	285	3.1%
of	241	2.6%
someschool	241	2.6%
lateral	24	0.3%
dual	20	0.2%

Most occurring characters

Value	Count	Frequency (%)
e	13062	22.2%
t	8473	14.4%
l	6064	10.3%
S	4933	8.4%
c	4407	7.5%
a	3821	6.5%
	2646	4.5%
o	2597	4.4%
d	2385	4.1%
L	2124	3.6%
Other values (13)	8264	14.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	58776	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	13062	22.2%
t	8473	14.4%
l	6064	10.3%
S	4933	8.4%
c	4407	7.5%
a	3821	6.5%
	2646	4.5%
o	2597	4.4%
d	2385	4.1%
L	2124	3.6%
Other values (13)	8264	14.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	58776	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	13062	22.2%
t	8473	14.4%
l	6064	10.3%
S	4933	8.4%
c	4407	7.5%
a	3821	6.5%
	2646	4.5%
o	2597	4.4%
d	2385	4.1%
L	2124	3.6%
Other values (13)	8264	14.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	58776	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	13062	22.2%
t	8473	14.4%
l	6064	10.3%
S	4933	8.4%
c	4407	7.5%
a	3821	6.5%
	2646	4.5%
o	2597	4.4%
d	2385	4.1%
L	2124	3.6%
Other values (13)	8264	14.1%

City
Categorical

High correlation Missing

Distinct	7
Distinct (%)	0.1%
Missing	1420
Missing (%)	15.4%
Memory size	585.4 KiB

Mumbai	3222
Select	2249
Thane & Outskirts	752
Other Cities	686
Other Cities of Maharashtra	457
Other values (2)	454

Length

Max length	27
Median length	6
Mean length	9.4702046
Min length	6

Characters and Unicode

Total characters	74057
Distinct characters	24
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Select
2nd row	Select
3rd row	Mumbai
4th row	Mumbai
5th row	Mumbai

Common Values

Value	Count	Frequency (%)
Mumbai	3222	34.9%
Select	2249	24.3%
Thane & Outskirts	752	8.1%
Other Cities	686	7.4%
Other Cities of Maharashtra	457	4.9%
Other Metro Cities	380	4.1%
Tier II Cities	74	0.8%
(Missing)	1420	15.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
mumbai	3222	26.2%
select	2249	18.3%
cities	1597	13.0%
other	1523	12.4%
	752	6.1%
thane	752	6.1%
outskirts	752	6.1%
of	457	3.7%
maharashtra	457	3.7%
metro	380	3.1%
Other values (2)	148	1.2%

Most occurring characters

Value	Count	Frequency (%)
e	8824	11.9%
t	7710	10.4%
i	7242	9.8%
a	5802	7.8%
	4469	6.0%
M	4059	5.5%
u	3974	5.4%
r	3643	4.9%
s	3558	4.8%
m	3222	4.4%
Other values (14)	21554	29.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	74057	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	8824	11.9%
t	7710	10.4%
i	7242	9.8%
a	5802	7.8%
	4469	6.0%
M	4059	5.5%
u	3974	5.4%
r	3643	4.9%
s	3558	4.8%
m	3222	4.4%
Other values (14)	21554	29.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	74057	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	8824	11.9%
t	7710	10.4%
i	7242	9.8%
a	5802	7.8%
	4469	6.0%
M	4059	5.5%
u	3974	5.4%
r	3643	4.9%
s	3558	4.8%
m	3222	4.4%
Other values (14)	21554	29.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	74057	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	8824	11.9%
t	7710	10.4%
i	7242	9.8%
a	5802	7.8%
	4469	6.0%
M	4059	5.5%
u	3974	5.4%
r	3643	4.9%
s	3558	4.8%
m	3222	4.4%
Other values (14)	21554	29.1%

Asymmetrique Activity Index
Categorical

High correlation Missing

Distinct	3
Distinct (%)	0.1%
Missing	4218
Missing (%)	45.6%
Memory size	551.8 KiB

02.Medium	3839
01.High	821
03.Low	362

Length

Max length	9
Median length	9
Mean length	8.4567901
Min length	6

Characters and Unicode

Total characters	42470
Distinct characters	17
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	02.Medium
2nd row	02.Medium
3rd row	02.Medium
4th row	02.Medium
5th row	02.Medium

Common Values

Value	Count	Frequency (%)
02.Medium	3839	41.5%
01.High	821	8.9%
03.Low	362	3.9%
(Missing)	4218	45.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
02.medium	3839	76.4%
01.high	821	16.3%
03.low	362	7.2%

Most occurring characters

Value	Count	Frequency (%)
0	5022	11.8%
.	5022	11.8%
i	4660	11.0%
M	3839	9.0%
2	3839	9.0%
e	3839	9.0%
d	3839	9.0%
u	3839	9.0%
m	3839	9.0%
1	821	1.9%
Other values (7)	3911	9.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	42470	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	5022	11.8%
.	5022	11.8%
i	4660	11.0%
M	3839	9.0%
2	3839	9.0%
e	3839	9.0%
d	3839	9.0%
u	3839	9.0%
m	3839	9.0%
1	821	1.9%
Other values (7)	3911	9.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	42470	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	5022	11.8%
.	5022	11.8%
i	4660	11.0%
M	3839	9.0%
2	3839	9.0%
e	3839	9.0%
d	3839	9.0%
u	3839	9.0%
m	3839	9.0%
1	821	1.9%
Other values (7)	3911	9.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	42470	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	5022	11.8%
.	5022	11.8%
i	4660	11.0%
M	3839	9.0%
2	3839	9.0%
e	3839	9.0%
d	3839	9.0%
u	3839	9.0%
m	3839	9.0%
1	821	1.9%
Other values (7)	3911	9.2%

Asymmetrique Profile Index
Categorical

High correlation Missing

Distinct	3
Distinct (%)	0.1%
Missing	4218
Missing (%)	45.6%
Memory size	550.1 KiB

02.Medium	2788
01.High	2203
03.Low	31

Length

Max length	9
Median length	9
Mean length	8.1041418
Min length	6

Characters and Unicode

Total characters	40699
Distinct characters	17
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	02.Medium
2nd row	02.Medium
3rd row	01.High
4th row	01.High
5th row	01.High

Common Values

Value	Count	Frequency (%)
02.Medium	2788	30.2%
01.High	2203	23.8%
03.Low	31	0.3%
(Missing)	4218	45.6%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
02.medium	2788	55.5%
01.high	2203	43.9%
03.low	31	0.6%

Most occurring characters

Value	Count	Frequency (%)
0	5022	12.3%
.	5022	12.3%
i	4991	12.3%
M	2788	6.9%
2	2788	6.9%
e	2788	6.9%
d	2788	6.9%
u	2788	6.9%
m	2788	6.9%
1	2203	5.4%
Other values (7)	6733	16.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	40699	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	5022	12.3%
.	5022	12.3%
i	4991	12.3%
M	2788	6.9%
2	2788	6.9%
e	2788	6.9%
d	2788	6.9%
u	2788	6.9%
m	2788	6.9%
1	2203	5.4%
Other values (7)	6733	16.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	40699	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	5022	12.3%
.	5022	12.3%
i	4991	12.3%
M	2788	6.9%
2	2788	6.9%
e	2788	6.9%
d	2788	6.9%
u	2788	6.9%
m	2788	6.9%
1	2203	5.4%
Other values (7)	6733	16.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	40699	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	5022	12.3%
.	5022	12.3%
i	4991	12.3%
M	2788	6.9%
2	2788	6.9%
e	2788	6.9%
d	2788	6.9%
u	2788	6.9%
m	2788	6.9%
1	2203	5.4%
Other values (7)	6733	16.5%

Asymmetrique Activity Score
Real number (ℝ)

High correlation Missing

Distinct	12
Distinct (%)	0.2%
Missing	4218
Missing (%)	45.6%
Infinite	0
Infinite (%)	0.0%
Mean	14.306252

Minimum	7
Maximum	18
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	72.3 KiB

Quantile statistics

Minimum	7
5-th percentile	12
Q1	14
median	14
Q3	15
95-th percentile	17
Maximum	18
Range	11
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.3866941
Coefficient of variation (CV)	0.096929233
Kurtosis	1.2330856
Mean	14.306252
Median Absolute Deviation (MAD)	1
Skewness	-0.3833797
Sum	71846
Variance	1.9229205
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=12)

Value	Count	Frequency (%)
14	1771	19.2%
15	1293	14.0%
13	775	8.4%
16	467	5.1%
17	349	3.8%
12	196	2.1%
11	95	1.0%
10	57	0.6%
9	9	0.1%
18	5	0.1%
Other values (2)	5	0.1%
(Missing)	4218	45.6%

Value	Count	Frequency (%)
7	1	< 0.1%
8	4	< 0.1%
9	9	0.1%
10	57	0.6%
11	95	1.0%
12	196	2.1%
13	775	8.4%
14	1771	19.2%
15	1293	14.0%
16	467	5.1%

Value	Count	Frequency (%)
18	5	0.1%
17	349	3.8%
16	467	5.1%
15	1293	14.0%
14	1771	19.2%
13	775	8.4%
12	196	2.1%
11	95	1.0%
10	57	0.6%
9	9	0.1%

Asymmetrique Profile Score
Real number (ℝ)

High correlation Missing

Distinct	10
Distinct (%)	0.2%
Missing	4218
Missing (%)	45.6%
Infinite	0
Infinite (%)	0.0%
Mean	16.344883

Minimum	11
Maximum	20
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	72.3 KiB

Quantile statistics

Minimum	11
5-th percentile	14
Q1	15
median	16
Q3	18
95-th percentile	20
Maximum	20
Range	9
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	1.811395
Coefficient of variation (CV)	0.11082337
Kurtosis	-0.61973145
Mean	16.344883
Median Absolute Deviation (MAD)	1
Skewness	0.22173872
Sum	82084
Variance	3.2811519
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=10)

Value	Count	Frequency (%)
15	1759	19.0%
18	1071	11.6%
16	599	6.5%
17	579	6.3%
20	308	3.3%
19	245	2.7%
14	226	2.4%
13	204	2.2%
12	22	0.2%
11	9	0.1%
(Missing)	4218	45.6%

Value	Count	Frequency (%)
11	9	0.1%
12	22	0.2%
13	204	2.2%
14	226	2.4%
15	1759	19.0%
16	599	6.5%
17	579	6.3%
18	1071	11.6%
19	245	2.7%
20	308	3.3%

Value	Count	Frequency (%)
20	308	3.3%
19	245	2.7%
18	1071	11.6%
17	579	6.3%
16	599	6.5%
15	1759	19.0%
14	226	2.4%
13	204	2.2%
12	22	0.2%
11	9	0.1%

I agree to pay the amount through cheque
Boolean

Constant

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	9.1 KiB

False	9240

Value	Count	Frequency (%)
False	9240	100.0%

A free copy of Mastering The Interview
Boolean

High correlation

Distinct	2
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	9.1 KiB

False	6352
True	2888

Value	Count	Frequency (%)
False	6352	68.7%
True	2888	31.3%

Last Notable Activity
Categorical

High correlation

Distinct	16
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	607.6 KiB

Modified	3407
Email Opened	2827
SMS Sent	2172
Page Visited on Website	318
Olark Chat Conversation	183
Other values (11)	333

Length

Max length	28
Median length	8
Mean length	10.320996
Min length	8

Characters and Unicode

Total characters	95366
Distinct characters	37
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	5 ?
Unique (%)	0.1%

Sample

1st row	Modified
2nd row	Email Opened
3rd row	Email Opened
4th row	Modified
5th row	Modified

Common Values

Value	Count	Frequency (%)
Modified	3407	36.9%
Email Opened	2827	30.6%
SMS Sent	2172	23.5%
Page Visited on Website	318	3.4%
Olark Chat Conversation	183	2.0%
Email Link Clicked	173	1.9%
Email Bounced	60	0.6%
Unsubscribed	47	0.5%
Unreachable	32	0.3%
Had a Phone Conversation	14	0.2%
Other values (6)	7	0.1%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
modified	3407	21.3%
email	3063	19.1%
opened	2827	17.6%
sms	2172	13.6%
sent	2172	13.6%
website	319	2.0%
on	319	2.0%
visited	318	2.0%
page	318	2.0%
conversation	197	1.2%
Other values (23)	910	5.7%

Most occurring characters

Value	Count	Frequency (%)
e	13075	13.7%
i	11430	12.0%
d	10260	10.8%
	6782	7.1%
S	6519	6.8%
n	6041	6.3%
M	5581	5.9%
o	4199	4.4%
a	4042	4.2%
l	3454	3.6%
Other values (27)	23983	25.1%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	95366	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	13075	13.7%
i	11430	12.0%
d	10260	10.8%
	6782	7.1%
S	6519	6.8%
n	6041	6.3%
M	5581	5.9%
o	4199	4.4%
a	4042	4.2%
l	3454	3.6%
Other values (27)	23983	25.1%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	95366	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	13075	13.7%
i	11430	12.0%
d	10260	10.8%
	6782	7.1%
S	6519	6.8%
n	6041	6.3%
M	5581	5.9%
o	4199	4.4%
a	4042	4.2%
l	3454	3.6%
Other values (27)	23983	25.1%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	95366	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	13075	13.7%
i	11430	12.0%
d	10260	10.8%
	6782	7.1%
S	6519	6.8%
n	6041	6.3%
M	5581	5.9%
o	4199	4.4%
a	4042	4.2%
l	3454	3.6%
Other values (27)	23983	25.1%

Interactions

Correlations

	A free copy of Mastering The Interview	Asymmetrique Activity Index	Asymmetrique Activity Score	Asymmetrique Profile Index	Asymmetrique Profile Score	City	Converted	Country	Digital Advertisement	Do Not Call	Do Not Email	How did you hear about X Education	Last Activity	Last Notable Activity	Lead Number	Lead Origin	Lead Profile	Lead Quality	Lead Source	Newspaper	Newspaper Article	Page Views Per Visit	Search	Specialization	Tags	Through Recommendations	Total Time Spent on Website	TotalVisits	What is your current occupation	What matters most to you in choosing a course	X Education Forums
A free copy of Mastering The Interview	1.000	0.096	0.148	0.259	0.373	0.504	0.038	0.091	0.000	0.000	0.054	0.309	0.197	0.110	0.116	0.569	0.058	0.140	0.669	0.000	0.000	0.127	0.000	0.458	0.180	0.004	0.207	0.016	0.023	0.000	0.000
Asymmetrique Activity Index	0.096	1.000	0.999	0.144	0.181	0.046	0.190	0.000	0.000	0.000	0.068	0.046	0.315	0.170	0.102	0.204	0.181	0.173	0.288	1.000	0.000	0.038	0.006	0.034	0.498	0.000	0.129	0.028	0.066	0.034	1.000
Asymmetrique Activity Score	0.148	0.999	1.000	0.169	-0.132	0.050	0.419	0.000	0.000	0.000	0.128	0.043	0.238	0.096	-0.075	0.179	0.134	0.194	0.174	1.000	0.000	-0.258	0.000	0.038	0.315	0.000	-0.168	-0.200	0.062	0.071	1.000
Asymmetrique Profile Index	0.259	0.144	0.169	1.000	0.999	0.449	0.173	0.000	0.011	0.000	0.000	0.222	0.190	0.098	0.077	0.480	0.230	0.143	0.382	1.000	0.000	0.038	0.006	0.491	0.163	0.000	0.153	0.000	0.120	0.000	1.000
Asymmetrique Profile Score	0.373	0.181	-0.132	0.999	1.000	0.439	0.278	0.000	0.000	0.000	0.066	0.118	0.111	0.056	-0.160	0.414	0.349	0.206	0.308	1.000	0.000	0.247	0.035	0.307	0.123	0.000	0.226	0.234	0.126	0.000	1.000
City	0.504	0.046	0.050	0.449	0.439	1.000	0.072	0.066	0.019	0.000	0.078	0.187	0.117	0.065	0.028	0.396	0.090	0.122	0.248	0.000	0.023	0.065	0.013	0.337	0.076	0.047	0.119	0.000	0.020	0.000	0.042
Converted	0.038	0.190	0.419	0.173	0.278	0.072	1.000	0.007	0.000	0.004	0.135	0.051	0.396	0.380	0.087	0.325	0.379	0.659	0.336	0.000	0.000	0.000	0.000	0.063	0.931	0.010	0.426	0.001	0.302	0.000	0.000
Country	0.091	0.000	0.000	0.000	0.000	0.066	0.007	1.000	0.000	0.000	0.093	0.000	0.057	0.074	0.025	0.000	0.022	0.029	0.112	0.000	0.000	0.214	0.000	0.019	0.033	0.000	0.000	0.000	0.000	0.000	0.000
Digital Advertisement	0.000	0.000	0.000	0.011	0.000	0.019	0.000	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.176	0.000	0.065	0.010	0.076	0.093	0.000	0.000	0.000	0.000	0.250
Do Not Call	0.000	0.000	0.000	0.000	0.000	0.000	0.004	0.000	0.000	1.000	0.000	0.043	0.000	0.000	0.008	0.014	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.034	0.000	0.000	0.000	0.000	0.000	0.000	0.000
Do Not Email	0.054	0.068	0.128	0.000	0.066	0.078	0.135	0.093	0.000	0.000	1.000	0.054	0.696	0.416	0.099	0.101	0.090	0.186	0.139	0.000	0.000	0.045	0.000	0.130	0.278	0.000	0.063	0.065	0.048	0.000	0.000
How did you hear about X Education	0.309	0.046	0.043	0.222	0.118	0.187	0.051	0.000	0.000	0.043	0.054	1.000	0.073	0.041	0.043	0.229	0.036	0.050	0.208	0.000	0.000	0.000	0.000	0.128	0.046	0.000	0.070	0.075	0.000	0.000	0.000
Last Activity	0.197	0.315	0.238	0.190	0.111	0.117	0.396	0.057	0.000	0.000	0.696	0.073	1.000	0.686	0.084	0.201	0.125	0.280	0.124	0.000	0.000	0.041	0.000	0.077	0.162	0.024	0.089	0.017	0.076	0.000	0.000
Last Notable Activity	0.110	0.170	0.096	0.098	0.056	0.065	0.380	0.074	0.000	0.000	0.416	0.041	0.686	1.000	0.087	0.103	0.098	0.230	0.066	0.000	0.000	0.000	0.000	0.039	0.164	0.058	0.061	0.031	0.060	0.000	0.000
Lead Number	0.116	0.102	-0.075	0.077	-0.160	0.028	0.087	0.025	0.000	0.008	0.099	0.043	0.084	0.087	1.000	0.087	0.141	0.112	0.127	0.011	0.000	0.066	0.023	0.035	0.089	0.000	0.031	0.057	0.059	0.000	0.000
Lead Origin	0.569	0.204	0.179	0.480	0.414	0.396	0.325	0.000	0.000	0.014	0.101	0.229	0.201	0.103	0.087	1.000	0.111	0.198	0.902	0.000	0.000	0.083	0.001	0.360	0.277	0.000	0.210	0.000	0.086	0.000	0.000
Lead Profile	0.058	0.181	0.134	0.230	0.349	0.090	0.379	0.022	0.000	0.000	0.090	0.036	0.125	0.098	0.141	0.111	1.000	0.417	0.141	0.000	0.000	0.016	0.000	0.135	0.371	0.000	0.070	0.000	0.195	0.000	1.000
Lead Quality	0.140	0.173	0.194	0.143	0.206	0.122	0.659	0.029	0.000	0.000	0.186	0.050	0.280	0.230	0.112	0.198	0.417	1.000	0.187	0.000	0.000	0.006	0.000	0.091	0.542	0.024	0.140	0.000	0.213	0.036	1.000
Lead Source	0.669	0.288	0.174	0.382	0.308	0.248	0.336	0.112	0.000	0.000	0.139	0.208	0.124	0.066	0.127	0.902	0.141	0.187	1.000	0.000	0.000	0.137	0.000	0.136	0.146	0.000	0.173	0.014	0.103	0.000	0.000
Newspaper	0.000	1.000	1.000	1.000	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.011	0.000	0.000	0.000	0.000	1.000	0.000	0.000	0.000	0.000	0.000	0.000	0.048	0.000	0.000	0.000	0.000
Newspaper Article	0.000	0.000	0.000	0.000	0.000	0.023	0.000	0.000	0.176	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	0.016	0.093	0.029	0.000	0.133	0.025	0.000	0.000	0.000	0.353
Page Views Per Visit	0.127	0.038	-0.258	0.038	0.247	0.065	0.000	0.214	0.000	0.000	0.045	0.000	0.041	0.000	0.066	0.083	0.016	0.006	0.137	0.000	0.016	1.000	0.013	0.075	0.041	0.014	0.572	0.850	0.015	0.000	0.000
Search	0.000	0.006	0.000	0.006	0.035	0.013	0.000	0.000	0.065	0.000	0.000	0.000	0.000	0.000	0.023	0.001	0.000	0.000	0.000	0.000	0.093	0.013	1.000	0.029	0.000	0.252	0.018	0.000	0.000	0.000	0.133
Specialization	0.458	0.034	0.038	0.491	0.307	0.337	0.063	0.019	0.010	0.034	0.130	0.128	0.077	0.039	0.035	0.360	0.135	0.091	0.136	0.000	0.029	0.075	0.029	1.000	0.066	0.000	0.089	0.047	0.100	0.000	0.062
Tags	0.180	0.498	0.315	0.163	0.123	0.076	0.931	0.033	0.076	0.000	0.278	0.046	0.162	0.164	0.089	0.277	0.371	0.542	0.146	0.000	0.000	0.041	0.000	0.066	1.000	0.000	0.134	0.000	0.207	0.049	1.000
Through Recommendations	0.004	0.000	0.000	0.000	0.000	0.047	0.010	0.000	0.093	0.000	0.000	0.000	0.024	0.058	0.000	0.000	0.000	0.024	0.000	0.000	0.133	0.014	0.252	0.000	0.000	1.000	0.041	0.000	0.027	0.000	0.189
Total Time Spent on Website	0.207	0.129	-0.168	0.153	0.226	0.119	0.426	0.000	0.000	0.000	0.063	0.070	0.089	0.061	0.031	0.210	0.070	0.140	0.173	0.048	0.025	0.572	0.018	0.089	0.134	0.041	1.000	0.586	0.059	0.000	0.033
TotalVisits	0.016	0.028	-0.200	0.000	0.234	0.000	0.001	0.000	0.000	0.000	0.065	0.075	0.017	0.031	0.057	0.000	0.000	0.000	0.014	0.000	0.000	0.850	0.000	0.047	0.000	0.000	0.586	1.000	0.000	0.000	0.000
What is your current occupation	0.023	0.066	0.062	0.120	0.126	0.020	0.302	0.000	0.000	0.000	0.048	0.000	0.076	0.060	0.059	0.086	0.195	0.213	0.103	0.000	0.000	0.015	0.000	0.100	0.207	0.027	0.059	0.000	1.000	0.000	1.000
What matters most to you in choosing a course	0.000	0.034	0.071	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.000	0.036	0.000	0.000	0.000	0.000	0.000	0.000	0.049	0.000	0.000	0.000	0.000	1.000	1.000
X Education Forums	0.000	1.000	1.000	1.000	1.000	0.042	0.000	0.000	0.250	0.000	0.000	0.000	0.000	0.000	0.000	0.000	1.000	1.000	0.000	0.000	0.353	0.000	0.133	0.062	1.000	0.189	0.033	0.000	1.000	1.000	1.000

Missing values

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

	Prospect ID	Lead Number	Lead Origin	Lead Source	Do Not Email	Do Not Call	Converted	TotalVisits	Total Time Spent on Website	Page Views Per Visit	Last Activity	Country	Specialization	How did you hear about X Education	What is your current occupation	What matters most to you in choosing a course	Search	Magazine	Newspaper Article	X Education Forums	Newspaper	Digital Advertisement	Through Recommendations	Receive More Updates About Our Courses	Tags	Lead Quality	Update me on Supply Chain Content	Get updates on DM Content	Lead Profile	City	Asymmetrique Activity Index	Asymmetrique Profile Index	Asymmetrique Activity Score	Asymmetrique Profile Score	I agree to pay the amount through cheque	A free copy of Mastering The Interview	Last Notable Activity
0	7927b2df-8bba-4d29-b9a2-b6e0beafe620	660737	API	Olark Chat	No	No	0	0.0	0	0.0	Page Visited on Website	NaN	Select	Select	Unemployed	Better Career Prospects	No	No	No	No	No	No	No	No	Interested in other courses	Low in Relevance	No	No	Select	Select	02.Medium	02.Medium	15.0	15.0	No	No	Modified
1	2a272436-5132-4136-86fa-dcc88c88f482	660728	API	Organic Search	No	No	0	5.0	674	2.5	Email Opened	India	Select	Select	Unemployed	Better Career Prospects	No	No	No	No	No	No	No	No	Ringing	NaN	No	No	Select	Select	02.Medium	02.Medium	15.0	15.0	No	No	Email Opened
2	8cc8c611-a219-4f35-ad23-fdfd2656bd8a	660727	Landing Page Submission	Direct Traffic	No	No	1	2.0	1532	2.0	Email Opened	India	Business Administration	Select	Student	Better Career Prospects	No	No	No	No	No	No	No	No	Will revert after reading the email	Might be	No	No	Potential Lead	Mumbai	02.Medium	01.High	14.0	20.0	No	Yes	Email Opened
3	0cc2df48-7cf4-4e39-9de9-19797f9b38cc	660719	Landing Page Submission	Direct Traffic	No	No	0	1.0	305	1.0	Unreachable	India	Media and Advertising	Word Of Mouth	Unemployed	Better Career Prospects	No	No	No	No	No	No	No	No	Ringing	Not Sure	No	No	Select	Mumbai	02.Medium	01.High	13.0	17.0	No	No	Modified
4	3256f628-e534-4826-9d63-4a8b88782852	660681	Landing Page Submission	Google	No	No	1	2.0	1428	1.0	Converted to Lead	India	Select	Other	Unemployed	Better Career Prospects	No	No	No	No	No	No	No	No	Will revert after reading the email	Might be	No	No	Select	Mumbai	02.Medium	01.High	15.0	18.0	No	No	Modified
5	2058ef08-2858-443e-a01f-a9237db2f5ce	660680	API	Olark Chat	No	No	0	0.0	0	0.0	Olark Chat Conversation	NaN	NaN	NaN	NaN	NaN	No	No	No	No	No	No	No	No	NaN	NaN	No	No	NaN	NaN	01.High	02.Medium	17.0	15.0	No	No	Modified
6	9fae7df4-169d-489b-afe4-0f3d752542ed	660673	Landing Page Submission	Google	No	No	1	2.0	1640	2.0	Email Opened	India	Supply Chain Management	Online Search	Unemployed	Better Career Prospects	No	No	No	No	No	No	No	No	Will revert after reading the email	Low in Relevance	No	No	Potential Lead	Mumbai	02.Medium	01.High	14.0	20.0	No	No	Modified
7	20ef72a2-fb3b-45e0-924e-551c5fa59095	660664	API	Olark Chat	No	No	0	0.0	0	0.0	Olark Chat Conversation	NaN	NaN	NaN	NaN	NaN	No	No	No	No	No	No	No	No	NaN	NaN	No	No	NaN	NaN	02.Medium	02.Medium	15.0	15.0	No	No	Modified
8	cfa0128c-a0da-4656-9d47-0aa4e67bf690	660624	Landing Page Submission	Direct Traffic	No	No	0	2.0	71	2.0	Email Opened	India	IT Projects Management	NaN	NaN	NaN	No	No	No	No	No	No	No	No	NaN	NaN	No	No	NaN	Thane & Outskirts	02.Medium	02.Medium	14.0	14.0	No	Yes	Email Opened
9	af465dfc-7204-4130-9e05-33231863c4b5	660616	API	Google	No	No	0	4.0	58	4.0	Email Opened	India	Finance Management	Word Of Mouth	NaN	NaN	No	No	No	No	No	No	No	No	NaN	NaN	No	No	NaN	Mumbai	02.Medium	02.Medium	13.0	16.0	No	No	Email Opened

	Prospect ID	Lead Number	Lead Origin	Lead Source	Do Not Email	Do Not Call	Converted	TotalVisits	Total Time Spent on Website	Page Views Per Visit	Last Activity	Country	Specialization	How did you hear about X Education	What is your current occupation	What matters most to you in choosing a course	Search	Magazine	Newspaper Article	X Education Forums	Newspaper	Digital Advertisement	Through Recommendations	Receive More Updates About Our Courses	Tags	Lead Quality	Update me on Supply Chain Content	Get updates on DM Content	Lead Profile	City	Asymmetrique Activity Index	Asymmetrique Profile Index	Asymmetrique Activity Score	Asymmetrique Profile Score	I agree to pay the amount through cheque	A free copy of Mastering The Interview	Last Notable Activity
9230	d11c15b7-8056-45a6-8954-771c0d0495fe	579701	Landing Page Submission	Google	No	No	0	2.0	870	2.00	Email Opened	India	Human Resource Management	Online Search	Unemployed	Better Career Prospects	No	No	No	No	No	No	No	No	Will revert after reading the email	NaN	No	No	Potential Lead	Mumbai	02.Medium	01.High	13.0	20.0	No	No	Email Opened
9231	4aeae36b-2b57-494f-bdab-dd58844286b4	579697	Landing Page Submission	Google	No	No	1	8.0	1016	4.00	Email Opened	India	Banking, Investment And Insurance	Online Search	Unemployed	Better Career Prospects	No	No	No	No	No	No	No	No	Will revert after reading the email	High in Relevance	No	No	Potential Lead	Mumbai	02.Medium	01.High	15.0	20.0	No	No	Email Opened
9232	2d0109e9-dfb2-4664-83de-c2ea75ec7516	579642	Landing Page Submission	Direct Traffic	No	No	0	2.0	1770	2.00	SMS Sent	India	Human Resource Management	Select	Unemployed	Better Career Prospects	No	No	No	No	No	No	No	No	Ringing	Not Sure	No	No	Potential Lead	Mumbai	02.Medium	01.High	14.0	20.0	No	Yes	SMS Sent
9233	3f715465-2546-47cd-afa8-8b8dc63b8b43	579622	API	Direct Traffic	No	No	1	13.0	1409	2.60	SMS Sent	India	Select	Select	Unemployed	Better Career Prospects	No	No	No	No	No	No	No	No	Will revert after reading the email	NaN	No	No	Select	Select	NaN	NaN	NaN	NaN	No	No	SMS Sent
9234	c0b25922-511f-4c56-852e-ced210a45447	579615	Landing Page Submission	Direct Traffic	No	No	1	5.0	210	2.50	SMS Sent	India	Business Administration	Select	Unemployed	Better Career Prospects	No	No	No	No	No	No	No	No	Will revert after reading the email	Might be	No	No	Potential Lead	Mumbai	02.Medium	01.High	14.0	20.0	No	No	Modified
9235	19d6451e-fcd6-407c-b83b-48e1af805ea9	579564	Landing Page Submission	Direct Traffic	Yes	No	1	8.0	1845	2.67	Email Marked Spam	Saudi Arabia	IT Projects Management	Select	Unemployed	Better Career Prospects	No	No	No	No	No	No	No	No	Will revert after reading the email	High in Relevance	No	No	Potential Lead	Mumbai	02.Medium	01.High	15.0	17.0	No	No	Email Marked Spam
9236	82a7005b-7196-4d56-95ce-a79f937a158d	579546	Landing Page Submission	Direct Traffic	No	No	0	2.0	238	2.00	SMS Sent	India	Media and Advertising	Select	Unemployed	Better Career Prospects	No	No	No	No	No	No	No	No	wrong number given	Might be	No	No	Potential Lead	Mumbai	02.Medium	01.High	14.0	19.0	No	Yes	SMS Sent
9237	aac550fe-a586-452d-8d3c-f1b62c94e02c	579545	Landing Page Submission	Direct Traffic	Yes	No	0	2.0	199	2.00	SMS Sent	India	Business Administration	Select	Unemployed	Better Career Prospects	No	No	No	No	No	No	No	No	invalid number	Not Sure	No	No	Potential Lead	Mumbai	02.Medium	01.High	13.0	20.0	No	Yes	SMS Sent
9238	5330a7d1-2f2b-4df4-85d6-64ca2f6b95b9	579538	Landing Page Submission	Google	No	No	1	3.0	499	3.00	SMS Sent	India	Human Resource Management	Online Search	NaN	NaN	No	No	No	No	No	No	No	No	NaN	NaN	No	No	NaN	Other Metro Cities	02.Medium	02.Medium	15.0	16.0	No	No	SMS Sent
9239	571b5c8e-a5b2-4d57-8574-f2ffb06fdeff	579533	Landing Page Submission	Direct Traffic	No	No	1	6.0	1279	3.00	SMS Sent	Bangladesh	Supply Chain Management	Select	Unemployed	Better Career Prospects	No	No	No	No	No	No	No	No	Will revert after reading the email	Might be	No	No	Potential Lead	Other Cities	02.Medium	01.High	15.0	18.0	No	Yes	Modified

Overview

Variables

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)